The fundamental idea behind copula theory is that we can associate every distribution with a uniquely defined copula \(C\) . Vice versa, given \(D\)  marginal distributions, each copula \(C\)  defines a multivariate distribution with the given marginals. Formally, this is known as Sklar's Theorem [1]}, [2]}.
